Method and apparatus for designing and testing audio codec by using white noise modeling
US12223426B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Feb 8, 2023 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Jun 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L19/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a method and apparatus for designing and testing an audio codec using quantization based on white noise modeling. A neural network-based audio encoder design method includes generating a quantized latent vector and a reconstructed signal corresponding to an input signal by using a white noise modeling-based quantization process, computing a total loss for training a neural network-based audio codec, based on the input signal, the reconstruction signal, and the quantized latent vector, training the neural network-based audio codec by using the total loss, and validating the trained neural network-based audio codec to select the best neural network-based audio codec.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.